netmeta: Network Meta-Analysis using Frequentist Methods
Official Git repository of R package netmeta
Gerta Rücker,
Ulrike Krahn,
Jochem König,
Orestis Efthimiou,
Annabel Davies,
Theodoros Papakonstantinou,
Guido Schwarzer
A comprehensive set of functions providing frequentist methods for
network meta-analysis:
-
frequentist network meta-analysis (Rücker, 2012; Rücker & Schwarzer, 2014);
-
net heat plot and design-based decomposition of Cochran's Q
(Krahn et al.,
2013);
-
measures characterizing the flow of evidence between two
treatments (König et al.,
2013);
-
ranking of treatments based on frequentist analogue of SUCRA
(Rücker & Schwarzer,
2015);
-
partial order of treatment rankings ('poset') and Hasse diagram
for 'poset' (Carlsen & Bruggemann,
2014;
Rücker & Schwarzer,
2017);
-
split direct and indirect evidence to check consistency (Dias et
al.,
2010);
-
league table with network meta-analysis results;
-
additive network meta-analysis for combinations of treatments
(Rücker et al.,
2020);
-
network meta-analysis of binary data using the Mantel-Haenszel
method or the non-central hypergeometric distribution (Efthimiou
et al.,
2019);
-
'comparison-adjusted' funnel plot (Chaimani & Salanti,
2012);
-
automated drawing of network graphs (Rücker & Schwarzer,
2016);
-
rankograms and ranking by Surface Under the Cumulative RAnking curve (SUCRA) values;
-
contribution matrix (Papakonstantinou et al.,
2018; Davies et al., 2021
)
Furthermore, R package netmeta provides functions and datasets to
support Schwarzer et al. (2015), Chapter 8 "Network Meta-Analysis",
https://link.springer.com/book/10.1007/978-3-319-21416-0 .
Carlsen L, Bruggemann R (2014): Partial order methodology: a valuable tool in chemometrics. Journal of Chemometrics, 28, 226-34
Chaimani A, Salanti G (2012): Using network meta-analysis to evaluate the existence of small-study effects in a network of interventions. Research Synthesis Methods, 3, 161-76
Davies AL, Papakonstantinou T, Nikolakopoulou A, Rücker G, Galla T (2021): Network meta-analysis and random walks. Available on arXiv
Dias S, Welton NJ, Caldwell DM, Ades AE (2010): Checking consistency in mixed treatment comparison meta-analysis. Statistics in Medicine, 29, 932-44
Efthimiou O, Rücker G, Schwarzer G, Higgins J, Egger M, Salanti G
(2019): A Mantel-Haenszel model for network meta-analysis of rare
events. Statistics in Medicine, 1-21
König J, Krahn U, Binder H (2013): Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons. Statistics in Medicine, 32, 5414-29
Krahn U, Binder H, König J (2013): A graphical tool for locating inconsistency in network meta-analyses. BMC Medical Research Methodology, 13, 35
Papakonstantinou T, Nikolakopoulou A, Rücker G, Chaimani A, Schwarzer G, Egger M, Salanti G (2018): Estimating the contribution of studies in network meta-analysis: paths, flows and streams. F1000Research, 7, 610
Rücker G (2012): Network meta-analysis, electrical networks and graph theory. Research Synthesis Methods, 3, 312-24
Rücker G, Schwarzer G (2014): Reduce dimension or reduce weights? Comparing two approaches to multi-arm studies in network meta-analysis. Statistics in Medicine, 33, 4353-69
Rücker G, Schwarzer G (2015): Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC Medical Research Methodology, 15, 58
Rücker G, Schwarzer G (2016): Automated drawing of network plots in network meta-analysis. Research Synthesis Methods, 7, 94-107
Rücker G, Schwarzer G (2017): Resolve conflicting rankings of outcomes in network meta-analysis: Partial ordering of treatments. Research Synthesis Methods, 8, 526-36
Rücker G, Petropoulou M, Schwarzer G (2020): Network meta-analysis of multicomponent interventions. Biometrical Journal, 62, 808-21
Schwarzer G, Carpenter JR and Rücker G (2015): Meta-Analysis with R (Use R!). Springer International Publishing, Switzerland
Current official release:
install.packages("netmeta")
Current development version on GitHub:
Installation using R package
remotes:
install.packages("remotes")
remotes::install_github("guido-s/netmeta", ref = "develop")
bug.report(package = "netmeta")
The bug.report function is not supported in RStudio. Please send an
email to Guido Schwarzer [email protected] if
you use RStudio.
You can also report bugs on GitHub under
Issues.